Cost-Effective Optimal Multi-Source Energy Management Technique in Heterogeneous Networks

Abstract

Heterogeneous networks (HetNets) involve multi-source energy supply for energy consumption through energy conservation and emission reduction. This research paper considers traditional energy's Torono Real-Time (TOU) price and fairness among users. It uses exponential utility functions that build a relationship between energy consumption, energy cost, and user fairness. Furthermore, it divides user selection into two stages such as (i) edge user allocation and (ii) service user determination to obtain an optimally balanced load distribution. We evaluate the proposed technique by combining two algorithms such as PA1 and PA2. The proposed approach significantly reduces the cost and energy consumption of the base station system in heterogeneous networks.